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A Similarity metric for retrieval of cases imperfectly explained

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 837))

Abstract

This paper describes a new quantitative similarity metric for cases comprising an episode represented by a problem/solution pair and an interpretation in the form of a set of imperfect explanations.

Our explanation-based metric is an alternative to other approaches that use case's explanations for selection and retrieval. We analyse this metric and present some examples.

We describe CLASH, a Case-Based Reasoning Expert System implemented in PROLOG, which applies this metric. The results provided by CLASH are compared with another system based on a different explanation-based metric for case retrieval.

We would like to thank Manuela Veloso for helpful discussions of these issues.

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References

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Stefan Wess Klaus-Dieter Althoff Michael M. Richter

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© 1994 Springer-Verlag Berlin Heidelberg

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Bento, C., Costa, E. (1994). A Similarity metric for retrieval of cases imperfectly explained. In: Wess, S., Althoff, KD., Richter, M.M. (eds) Topics in Case-Based Reasoning. EWCBR 1993. Lecture Notes in Computer Science, vol 837. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-58330-0_79

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  • DOI: https://doi.org/10.1007/3-540-58330-0_79

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-58330-1

  • Online ISBN: 978-3-540-48655-8

  • eBook Packages: Springer Book Archive

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